The Open Eyed Man Turns One. After a year of revolutionary AI progress, the accessibility gap persists. Looking back at five landmark events in the past 12 months and forward to what's ahead.
Job Satisfaction When AI Can Do The Task But Not The Job. AI augmentation hollows out jobs by taking the tasks it can do and leaving the rest for humans. Whether that's a blessing or a curse depends entirely on which parts you wanted to keep.
Bad Language Models (Explicit). A leaked Claude Code regex for detecting user swearing is a small, vivid example of how massive AI-built codebases accumulate flabby, brittle features — and a reminder that the software Claude writes is only ever as good as the spec you gave it.
Selective Integration: How to Use AI Without Losing Your Edge. A guest post on selective integration: being deliberate about what mental work you keep for yourself and what you delegate to AI, so you protect the friction of thinking that defines your edge.
Beta Testing the Future of Accessible Travel. Smart glasses and a hotel app that bypasses the touchscreen thermostat — a few days in Silicon Valley make the case that conversational voice agents could finally bring blind accessibility to the physical world. And if everyone uses them, accessibility comes for free.
Your monthly AI bill is a crap measure of your productivity, so why encourage developers to spend $25,000 PER DAY? Token usage leaderboards reward developers for burning the most fuel, not building the best engine. But behind the bragging rights, agentic loops are reshaping how software gets built.
Conversational Authenticity Voice AI agents will transform how we interact with technology — but only if they solve the same turn-taking problems that plagued transatlantic phone calls for decades. Sometimes the simplest solution is the most authentic.